Chairman

Jan W. Veldsink

Master in the art of AI at Nyenrode, Rabobank, and Grio

Lecturers

Atakan Cetinsoy

VP, Predictive Applications at BigML

César Hernández Baigorri, M.Sc.

Advanced Analytics Director at T2Client

Charles Parker, Ph.D.

VP of Machine Learning Algorithms at BigML

Enrique Dans, Ph.D.

Senior Advisor for Innovation and Digital Transformation at IE University

Francis Cepero

Director Vertical Market Solutions at A1 Digital

jao, Ph.D.

Co-Founder and Chief Technology Officer at BigML

Jeroen van der Velden, Ph.D.

Associate Professor Strategy and Director Center for SOL at Nyenrode

Marco Caspers

Technical and Legal Consultant at JuriBlox

Mercè Martín Prats, Ph.D.

VP of Insights and Applications at BigML

Paul Roberts

VP EMEA at Trifacta

Poul Petersen, M.Sc.

Chief Infrastructure Officer at BigML

Tom Dietterich, Ph.D.

Co-Founder and Chief Scientist at BigML

Wibout De Klijne

Global Head Compliance Surveillance and Investigations at Rabobank

Schedule of Lectures

The goal of this Machine Learning School is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. All lectures will take place at Nyenrode Business Universiteit from 8:30 AM to 5:00 PM CEST during July 8 - 11, 2019.

Day 1

Machine Learning for Executives

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 09:45 AM
Machine Learning: Why Now?
09:45 AM - 10:30 AM
Digital Strategy and AI
10:30 AM - 11:00 AM
Coffee Break
11:00 AM - 11:20 AM
Machine Learning for Fraud Detection
11:20 AM - 12:15 PM
Machine Learning for Managers
12:15 PM - 01:30 PM
Lunch Break
01:30 PM - 02:30 PM
What is Machine Learning: A Business Perspective
02:30 PM - 03:00 PM
Machine Learning for Law
03:00 PM - 04:00 PM
Introduction to Machine Learning with the BigML Platform
04:00 PM - 04:20 PM
Closing Remarks
by Atakan Cetinsoy, BigML.
04:20 PM - 06:00 PM
Free Time
06:00 PM - 08:30 PM
Dinner

Day 2

Main Conference: Introduction to Machine Learning

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 09:30 AM
Opening Remarks
09:30 AM - 10:15 AM
Machine Learning: Business Perspective
10:15 AM - 11:00 AM
Anatomy of an Application: Machine Learning End-to-End
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 12:30 PM
Supervised vs Unsupervised Learning techniques
12:30 PM - 01:30 PM
Lunch and Networking
01:30 PM - 01:45 PM
Data Preparation for Machine Learning
01:45 PM - 02:45 PM
Supervised Learning I: Introduction to Machine Learning, Models, Evaluations, and Ensembles
02:45 PM - 03:45 PM
Supervised Learning II: Logistic Regression, Deepnets, and Time Series
03:45 PM - 04:15 PM
Coffee Break and Networking
04:15 PM - 04:45 PM
Machine Learning for Logistics: Predicting Expedition Outcome
04:45 PM - 05:15 PM
Machine Learning for Energy Trading and the Automotive Sector
05:15 PM - 05:45 PM
Drinks and Networking

Day 3

Main Conference: Introduction to Machine Learning

08:30 AM - 09:00 AM
Coffee and Networking
09:00 AM - 09:45 AM
Machine Learning: Technical Perspective
09:45 AM - 10:45 AM
Unsupervised I: Clusters and Anomalies
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:30 PM
Unsupervised II: Associations and Topic Modeling
12:30 PM - 01:30 PM
Lunch and Networking
01:30 PM - 02:30 PM
Adopting Machine Learning at Scale
02:30 PM - 03:30 PM
Enhancing and Automating Decision Making with Machine Learning
03:30 PM - 04:00 PM
Coffee Break and Networking
04:00 PM - 04:30 PM
Q&A and Open Discussion
04:30 PM - 05:00 PM
Machine Learning for Your Business: Anomaly Detection in KYC (Know Your Customer)
05:00 PM - 05:15 PM
Closing Remarks
05:15 PM - 06:00 PM
Drinks with the Speakers

Day 4

Working with the Masters

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 10:00 AM
Advanced Machine Learning Patterns
by Poul Petersen, BigML.
10:00 AM - 11:00 AM
Automating your own Machine Learning Projects
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 01:00 PM
Your first BigML Project
01:00 PM - 02:00 PM
Lunch break and Networking
02:00 PM - 04:00 PM
Bring your Data and Build your Model with the Help of the Masters
by Charles Parker, BigML.
04:00 PM - 04:15 PM
Closing Remarks
04:15 PM - 05:00 PM
Drinks with the Masters

Attendees and Tickets

The four-day event will provide a jam-packed curriculum for different professional profiles.

July 8  |  day 1 Machine Learning for Executives

A C-level course on Machine Learning, ideal for business leaders and senior executives in all industries. Attendees will be able to understand how Machine Learning can be adopted in any organization, focusing on the strategy to follow as well as the key points that managers should know when making decisions. Additionally, we will see several real-world success stories presented by companies that are currently applying Machine Learning techniques.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the dinner after the executives crash course.
July 9-10  |  days 2 and 3 Introduction to Machine Learning

The main conference will be a two-day crash course designed for business innovators, industry practitioners, as well as students, seeking a quick, practical, and hands-on introduction to Machine Learning to solve real-world problems. The content presented during these two days will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning and AI Masters.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the drinks to meet the speakers at the end of the event. If you wish to join the barbecue and/or dinners after day 2 and 3 please note that you will need to purchase them separately here.
July 11  |  day 4 Working with the Masters

A day long experiential learning with the Machine Learning masters to put theoretical concepts into practice in a hands-on manner. This course is tailored for experienced business analysts, data scientists, and Machine Learning practitioners that wish to work on real-world data and real cases; a unique opportunity to work with leading Machine Learning experts. Attendees will be able to bring their own data.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the drinks to meet the masters at the end of the workshops. If you wish to join the dinner after day 4 please note that you will need to purchase it separately here.
July 8 - 11  |  4 days Full package
Both tickets include access to all sessions, from day 1 to day 4, coffee and lunch breaks, the dinner with the executives on day 1, as well as the drinks to meet the masters at the end of the main conference and workshops. If you wish to join the dinners after day 2,3 and 4 please note that you will need to purchase them separately here.

Venue

Nyenrode Business Universiteit Straatweg 25, 3621 BG Breukelen, The Netherlands.

How to Arrive

Accommodation

Nyenrode Hotel

We recommend you to stay at Nyenrode Hotel, since it is on the venue, but space is limited: First Come First Served.
Rate range: 84€ - 94€ (VAT included) + 13,30€ for breakfast. To book your room, please contact the hotel via email at servicedesk@nyenrode.nl and make sure you mention you are coming to the Machine Learning Summer School in The Netherlands. The hotel will appreciate if you mention your address and preferred dates for your stay.

Co-organized by:

BigML Nyenrode Business University

Sponsors

Trifacta

Business Partners:

https://axveco.com/ https://www.bertoosterhof.nl/ https://www.braincreators.com/ https://rightbrains.nl/ https://www.womeninai.co/